962 resultados para by-product streams


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Accompanied by "Product supplement." (vii, 212 p. 30 cm.) Published: Washington, U.S. Govt. Print. Off., 1950.

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Phase I report. Site selection and estimated water costs based on current technology. Phase II report. Investigation of emerging technology, by-product recovery, and very large capacities. Period of performance: June 1965-Oct. 1966.

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Vols. for 1970-71 includes manufacturers catalogs.

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Vols. for 1970-1972 published by the Public Health Service; 1976- by the Public Health Service, Food and Drug Administration; 1980- by the U.S. Dept. of Health and Human Services, Public Health Service, Food and Drug Administration.

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The prevalence of fatty liver is rising in association with the global increase in obesity and type 2 diabetes. In the past, simple steatosis was regarded as benign, but the presence of another liver disease may provide a synergistic combination of steatosis, cellular adaptation, and oxidative damage that aggravates liver injury. In this review, a major focus is on the role of steatosis as a co-factor in chronic hepatitis C (HCV), where the mechanisms promoting fibrosis and the effect of weight reduction in minimizing liver injury have been most widely studied. Steatosis, obesity, and associated metabolic factors may also modulate the response to alcohol- and drug-induced liver disease and may be risk factors for the development of hepatocellular cancer. The pathogenesis of injury in obesity-related fatty liver disease involves a number of pathways, which are currently under investigation. Enhanced oxidative stress, increased susceptibility to apoptosis, and a dysregulated response to cellular injury have been implicated, and other components of the metabolic syndrome such as hyperinsulinernia and hyperglycemia are likely to have a role. Fibrosis also may be increased as a by-product of altered hepatocyte regeneration and activation of bipotential hepatic progenitor cells. In conclusion, active management of obesity and a reduction in steatosis may improve liver injury and decrease the progression of fibrosis.

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This paper arises out of a research study into the online help facilities provided in popular software applications such as word processors. Its particular focus is on experimental methods of evaluating the effectiveness and usability of those facilities. Focus groups, questionnaires, and online surveys had already been used in other phases of the study, but it was judged that these approaches would be unsuitable for measuring effectiveness and usability because they are susceptible to respondents' subjectivity. Direct observation of people working on set word-processing tasks was ruled out initially because of a lack of trained observers; it would have taken too long for the investigator to observe a large enough sample by himself. Automatic recording of users' actions was also rejected, as it would have demanded equipment and/or software that was not available and seemed too expensive to acquire. The approach and techniques described here were an attempt to overcome these difficulties by using observers drawn from the same population of students that provided the test subjects; as a by-product, this may also have enhanced the acceptability (and hence possibly the validity) of the experiments by reducing the exam pressure perceived by participants.

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We consider the solvability of the Neumann problem for the equation -Delta u + lambda u = 0, partial derivative u/partial derivative v = Q(x)vertical bar u vertical bar(q-2)u on partial derivative Omega, where Q is a positive and continuous coefficient on partial derivative Omega, lambda is a parameter and q = 2(N - 1)/(N - 2) is a critical Sobolev exponent for the trace embedding of H-1(Omega) into L-q(partial derivative Omega). We investigate the joint effect of the mean curvature of partial derivative Omega and the shape of the graph of Q on the existence of solutions. As a by product we establish a sharp Sobolev inequality for the trace embedding. In Section 6 we establish the existence of solutions when a parameter lambda interferes with the spectrum of -Delta with the Neumann boundary conditions. We apply a min-max principle based on the topological linking.

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Mating preferences are common in natural populations, and their divergence among populations is considered an important source of reproductive isolation during speciation. Although mechanisms for the divergence of mating preferences have received substantial theoretical treatment, complementary experimental tests are lacking. We conducted a laboratory evolution experiment, using the fruit fly Drosophila serrata, to explore the role of divergent selection between environments in the evolution of female mating preferences. Replicate populations of D. serrata were derived from a common ancestor and propagated in one of three resource environments: two novel environments and the ancestral laboratory environment. Adaptation to both novel environments involved changes in cuticular hydrocarbons, traits that predict mating success in these populations. Furthermore, female mating preferences for these cuticular hydrocarbons also diverged among populations. A component of this divergence occurred among treatment environments, accounting for at least 17.4% of the among- population divergence in linear mating preferences and 17.2% of the among-population divergence in nonlinear mating preferences. The divergence of mating preferences in correlation with environment is consistent with the classic by- product model of speciation in which premating isolation evolves as a side effect of divergent selection adapting populations to their different environments.

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Adenosylhomocysteine hydrolase-like protein 1 (AHCYL1) is a novel intracellular protein with similar to 50% protein identity to adenosyl homocysteine hydrolase (AHCY), an important enzyme for metabolizing S-adenosyl-L-homocysteine, the by-product of S-adenosyl-L-homomethionine-dependent methylation. AHCYL1 binds to the inositol 1,4,5-trisphosphate receptor, suggesting that AHCYL1 is involved in intracellular calcium release. We identified two zebrafish AHCYL1 orthologs(zAHCYL1A and -B) by bioinformatics and reverse transcription-PCR. Unlike the ubiquitously present AHCY genes, AHCYL1 genes were only detected in segmented animals, and AHCYL1 proteins were highly conserved among species. Phylogenic analysis suggested that the AHCYL1 gene diverged early from AHCY and evolved independently. Quantitative reverse transcription-PCR showed that zAHCYL1A and -B mRNA expression was regulated differently from the other AHCY-like protein zAHCYL2 and zAHCY during zebrafish embryogenesis. Injection of morpholino antisense oligonucleotides against zAHCYL1A and -B into zebrafish embryos inhibited zAHCYL1A and -B mRNA translation specifically and induced ventralized morphologies. Conversely, human and zebrafish AHCYL1A mRNA injection into zebrafish embryos induced dorsalized morphologies that were similar to those obtained by depleting intracellular calcium with thapsigargin. Human AHCY mRNA injection showed little effect on the embryos. These data suggest that AHCYL1 has a different function from AHCY and plays an important role in embryogenesis by modulating inositol 1,4,5-trisphosphate receptor function for the intracellular calcium release.

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The Gauss-Marquardt-Levenberg (GML) method of computer-based parameter estimation, in common with other gradient-based approaches, suffers from the drawback that it may become trapped in local objective function minima, and thus report optimized parameter values that are not, in fact, optimized at all. This can seriously degrade its utility in the calibration of watershed models where local optima abound. Nevertheless, the method also has advantages, chief among these being its model-run efficiency, and its ability to report useful information on parameter sensitivities and covariances as a by-product of its use. It is also easily adapted to maintain this efficiency in the face of potential numerical problems (that adversely affect all parameter estimation methodologies) caused by parameter insensitivity and/or parameter correlation. The present paper presents two algorithmic enhancements to the GML method that retain its strengths, but which overcome its weaknesses in the face of local optima. Using the first of these methods an intelligent search for better parameter sets is conducted in parameter subspaces of decreasing dimensionality when progress of the parameter estimation process is slowed either by numerical instability incurred through problem ill-posedness, or when a local objective function minimum is encountered. The second methodology minimizes the chance of successive GML parameter estimation runs finding the same objective function minimum by starting successive runs at points that are maximally removed from previous parameter trajectories. As well as enhancing the ability of a GML-based method to find the global objective function minimum, the latter technique can also be used to find the locations of many non-global optima (should they exist) in parameter space. This can provide a useful means of inquiring into the well-posedness of a parameter estimation problem, and for detecting the presence of bimodal parameter and predictive probability distributions. The new methodologies are demonstrated by calibrating a Hydrological Simulation Program-FORTRAN (HSPF) model against a time series of daily flows. Comparison with the SCE-UA method in this calibration context demonstrates a high level of comparative model run efficiency for the new method. (c) 2006 Elsevier B.V. All rights reserved.

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Calibration of a groundwater model requires that hydraulic properties be estimated throughout a model domain. This generally constitutes an underdetermined inverse problem, for which a Solution can only be found when some kind of regularization device is included in the inversion process. Inclusion of regularization in the calibration process can be implicit, for example through the use of zones of constant parameter value, or explicit, for example through solution of a constrained minimization problem in which parameters are made to respect preferred values, or preferred relationships, to the degree necessary for a unique solution to be obtained. The cost of uniqueness is this: no matter which regularization methodology is employed, the inevitable consequence of its use is a loss of detail in the calibrated field. This, ill turn, can lead to erroneous predictions made by a model that is ostensibly well calibrated. Information made available as a by-product of the regularized inversion process allows the reasons for this loss of detail to be better understood. In particular, it is easily demonstrated that the estimated value for an hydraulic property at any point within a model domain is, in fact, a weighted average of the true hydraulic property over a much larger area. This averaging process causes loss of resolution in the estimated field. Where hydraulic conductivity is the hydraulic property being estimated, high averaging weights exist in areas that are strategically disposed with respect to measurement wells, while other areas may contribute very little to the estimated hydraulic conductivity at any point within the model domain, this possibly making the detection of hydraulic conductivity anomalies in these latter areas almost impossible. A study of the post-calibration parameter field covariance matrix allows further insights into the loss of system detail incurred through the calibration process to be gained. A comparison of pre- and post-calibration parameter covariance matrices shows that the latter often possess a much smaller spectral bandwidth than the former. It is also demonstrated that, as all inevitable consequence of the fact that a calibrated model cannot replicate every detail of the true system, model-to-measurement residuals can show a high degree of spatial correlation, a fact which must be taken into account when assessing these residuals either qualitatively, or quantitatively in the exploration of model predictive uncertainty. These principles are demonstrated using a synthetic case in which spatial parameter definition is based oil pilot points, and calibration is Implemented using both zones of piecewise constancy and constrained minimization regularization. (C) 2005 Elsevier Ltd. All rights reserved.

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CO2 Geosequestration is seen by many worldwide scientists and engineers as a leading prospective solution to the global warming problem arising from excessive CO2 and other greenhouse gas emissions. CO2 geosequestration in coal seams has two important strategic benefits: the process has an extremely low risk of leakage, due to the adsorbed state of the CO2 and the known reservoir context of essentially-zero leakage into which it is be injected; the second benefit arises from the valuable by-product, clean burning coalbed methane gas. This paper presents the authors’ experience, knowledge and perspective on what coal properties and engineering processes would favour implementing a demonstration or commercial CO2 storage-in-coal project, in Queensland, Australia. As such, it may be considered a template for screening studies to select the optimum coal seam reservoir, and for preliminary studies in designing the injection system and predicting production response to the technology. The paper concludes by examining the current knowledge gaps of CO2 geosequestration in coal, identifying further basic and applied research topics.

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O relacionamento de longo prazo é atualmente o elemento-chave para o sucesso das organizações. Com um mercado tão competitivo, as empresas estão desenvolvendo estratégias que melhor possam satisfazer e criar valor para seus clientes. As empresas precisam definir muito bem as suas estratégias com foco na percepção de seus clientes e do mercado. Porém a criação de valor não advém apenas da qualidade de um produto, da tecnologia e da infraestrutura. Ela também tem base em valores intrínsecos como, por exemplo, as competências. Sendo assim, as empresas precisam investir nos profissionais de linha de frente para que eles desenvolvam competências e atendam às necessidades e desejos dos clientes. Este trabalho tem o intuito de demonstrar se as competências coletivas, desenvolvidas a partir da interação social de um grupo podem trazer algum(s) benefício(s) ou não para o atendimento ao cliente em termos de satisfação e criação de valor, promovendo o marketing de relacionamento. Em seu desenvolvimento, foram utilizadas como base as teorias de competência, competências coletivas, gestão do conhecimento, satisfação e criação de valor para o cliente e marketing de relacionamento. Porém, não foi possível encontrar na literatura qualquer relação entre os temas competências coletivas e marketing de relacionamento. Neste contexto, o presente trabalho teve como objetivo geral analisar como o desenvolvimento das competências coletivas de uma equipe de vendas pode influenciar a satisfação do cliente. Especificamente buscou-se a) levantar quais os principais fatores ligados à equipe de vendas que geram satisfação nos clientes; b) analisar como as competências coletivas da equipe de vendas influenciam a satisfação do cliente; c) identificar como se formam competências coletivas em uma equipe de vendas. A partir destes objetivos, o procedimento metodológico de abordagem qualitativa foi orientado pelo método de estudo de caso, com procedimentos de análise de dados de entrevistas, observação direta e levantamento de registros. Foram entrevistadas duas equipes de vendas de uma empresa multinacional no segmento de serviços para análise e proteção de crédito, envolvendo o gerente, três vendedores e um cliente de cada equipe, atendidos por estes vendedores. As observações foram realizadas em duas reuniões de vendas envolvendo vendedores e clientes, e os registros analisados referem-se a metas e número de clientes atendidos no mês. Os resultados evidenciam que as competências coletivas podem influenciar na satisfação do cliente, embora estes só percebam as competências individuais e organizacionais. Mas ficou evidente, por parte de vendedores e gerentes de equipe, que as competências coletivas, além de promover a satisfação do cliente, auxiliam no desenvolvimento e na formação de competências individuais das pessoas na área comercial.

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In the last decades, increasing scientific evidence has correlated the regular consumption of (poly)phenol-rich foods to a potential reduction of chronic disease incidence and mortality. However, epidemiological evidence on the role of (poly)phenol intake against the risk of some chronic diseases is promising, but not conclusive. In this framework a proper approach to (poly)phenol research is requested, using a step by step strategy. The plant kingdom produces an overwhelming array of structurally diverse secondary metabolites, among which flavonoids and related phenolic and (poly)phenolic compounds constitute one of the most numerous and widely distributed group of natural products. To date, more than 8000 structures have been classified as members of the phytochemical class of (poly)phenol, and among them over 4000 flavonoids have been identified. For this reason, a detailed food (poly)phenolic characterization is essential to identify the compounds that will likely enter the human body upon consumption, to predict the metabolites that will be generated and to unravel the potential effects of phenolic rich food sources on human health. In the first part of this work the attention was focused on the phenolic characterization of fruit and vegetable supplements, considering the increasing attention recently addressed to the so called "nutraceuticals", and on the main coffee industry by-product, namely coffee silverskin. The interest oriented toward (poly)phenols is then extended to their metabolism within the human body, paramount in the framework of their putative health promoting effects. Like all nutrients and non-nutrients, once introduced through the diet, (poly)phenols are subjected to an intense metabolism, able to convert the native compounds into similar conjugated, as well as smaller and deeply modified molecules, which in turn could be further conjugated. Although great strides have been made in the last decades, some steps of the (poly)phenol metabolism remain unclear and are interesting points of research. In the second part of this work the research was focused on a specific bran fraction, namely aleurone, added in feed pellets and in bread to investigate the absorption, metabolism and bioavailability of its phenolic compounds in animal and humans, with a preliminary in vitro step to determine their potential bioaccesibility. This part outlines the best approaches to assess the bioavailability of specific phenolics in several experimental models. The physiological mechanisms explaining the epidemiological and observational data on phenolics and health, are still far from being unraveled or understood in full. Many published results on phenolic actions at cell levels are biased by the fact that aglycones or native compounds have been used, not considering the previously mentioned chemical and biological transformations. In the last part of this thesis work, a new approach in (poly)phenol bioactivity investigation is proposed, consisting of a medium-long term treatment of animals with a (poly)phenol source, in this specific case resveratrol, the detection of its metabolites to determine their possible specific tissue accumulation, and the evaluation of specific parameters and/or mechanism of action at target tissue level. To conclude, this PhD work has contributed to advancing the field, as novel sources of (poly)phenols have been described, the bioavailability of (poly)phenols contained in a novel specific bran fraction used as ingredient has been evaluated in animal and in humans, and, finally, the tissue accumulation of specific (poly)phenol metabolites and the evaluation of specific parameters and/or mechanism of action has been carried out. For these reasons, this PhD work should be considered an example of adequate approach to the investigation of (poly)phenols and of their bioactivity, unavoidable in the process of unequivocally defining their effects on human health.

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By transforming the optical fiber span into an ultralong cavity laser, we experimentally demonstrate quasilossless transmission over long (up to 75 km) distances and virtually zero signal power variation over shorter (up to 20 km) spans, opening the way for the practical implementation of integrable nonlinear systems in optical fiber. As a by-product of our technique, the longest ever laser (to the best of our knowledge) has been implemented, with a cavity length of 75 km. A simple theory of the lossless fiber span, in excellent agreement with the observed results, is presented.